Bibliographic record
Abstract
In November 2005 Fidelity Homestead, a savings bank in Louisiana, began noticing suspicious charges from Mexico and southern California on its customers' credit cards. More than a year later, an audit revealed peculiarities in the credit card data in the computer systems of TJX Companies, the parent company of more than 2,600 discount fashion and home accessories retail stores in the United States, Canada, and Europe. The U.S. Secret Service, the U.S. Justice Department, and the Royal Canadian Mounted Police found that hackers had penetrated TJX's systems in mid-2005, accessing information that dated as far back as 2003. TJX had violated industry security standards by failing to update its in-store wireless networks and by storing credit card numbers and expiration dates without adequate encryption. When TJX announced the intrusion in January 2007, it admitted that hackers had compromised nearly 46 million debit and credit card numbers, the largest-ever data breach in the United States. After analyzing and discussing the case, students should be able to:
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".